df Dataset Profile Report

Dataset statistics

Number of variables	12
Number of observations	13200
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.0 MiB
Average record size in memory	319.4 B

Variable types

Numeric	8
Categorical	4

Alerts

`Atmospheric Pressure` is highly overall correlated with `Temperature`	High correlation
`Humidity` is highly overall correlated with `Precipitation (%)` and 1 other fields	High correlation
`Precipitation (%)` is highly overall correlated with `Humidity` and 2 other fields	High correlation
`Temperature` is highly overall correlated with `Atmospheric Pressure` and 1 other fields	High correlation
`UV Index` is highly overall correlated with `Weather Type`	High correlation
`Visibility (km)` is highly overall correlated with `Humidity` and 1 other fields	High correlation
`Weather Type` is highly overall correlated with `Precipitation (%)` and 2 other fields	High correlation
`CaseId` is uniformly distributed	Uniform
`Weather Type` is uniformly distributed	Uniform
`CaseId` has unique values	Unique
`Temperature` has 206 (1.6%) zeros	Zeros
`Wind Speed` has 170 (1.3%) zeros	Zeros
`UV Index` has 2097 (15.9%) zeros	Zeros

Reproduction

Analysis started	2025-03-30 21:37:39.173249
Analysis finished	2025-03-30 21:37:51.494092
Duration	12.32 seconds
Software version	ydata-profiling vv4.14.0
Download configuration	config.json

CaseId
Real number (ℝ)

Uniform Unique

Distinct	13200
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6600.5

Minimum	1
Maximum	13200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	103.2 KiB

Quantile statistics

Minimum	1
5-th percentile	660.95
Q1	3300.75
median	6600.5
Q3	9900.25
95-th percentile	12540.05
Maximum	13200
Range	13199
Interquartile range (IQR)	6599.5

Descriptive statistics

Standard deviation	3810.6561
Coefficient of variation (CV)	0.5773284
Kurtosis	-1.2
Mean	6600.5
Median Absolute Deviation (MAD)	3300
Skewness	0
Sum	87126600
Variance	14521100
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
8805	1	< 0.1%
8795	1	< 0.1%
8796	1	< 0.1%
8797	1	< 0.1%
8798	1	< 0.1%
8799	1	< 0.1%
8800	1	< 0.1%
8801	1	< 0.1%
8802	1	< 0.1%
Other values (13190)	13190	99.9%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
13200	1	< 0.1%
13199	1	< 0.1%
13198	1	< 0.1%
13197	1	< 0.1%
13196	1	< 0.1%
13195	1	< 0.1%
13194	1	< 0.1%
13193	1	< 0.1%
13192	1	< 0.1%
13191	1	< 0.1%

Temperature
Real number (ℝ)

High correlation Zeros

Distinct	126
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.127576

Minimum	-25
Maximum	109
Zeros	206
Zeros (%)	1.6%
Negative	2337
Negative (%)	17.7%
Memory size	103.2 KiB

Quantile statistics

Minimum	-25
5-th percentile	-9
Q1	4
median	21
Q3	31
95-th percentile	44
Maximum	109
Range	134
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	17.386327
Coefficient of variation (CV)	0.90896655
Kurtosis	0.58605063
Mean	19.127576
Median Absolute Deviation (MAD)	11
Skewness	0.22174145
Sum	252484
Variance	302.28435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	391	3.0%
24	375	2.8%
26	372	2.8%
30	370	2.8%
22	365	2.8%
28	357	2.7%
27	355	2.7%
34	354	2.7%
31	347	2.6%
23	341	2.6%
Other values (116)	9573	72.5%

Value	Count	Frequency (%)
-25	1	< 0.1%
-24	4	< 0.1%
-23	2	< 0.1%
-22	5	< 0.1%
-21	4	< 0.1%
-20	21	0.2%
-19	22	0.2%
-18	20	0.2%
-17	34	0.3%
-16	27	0.2%

Value	Count	Frequency (%)
109	1	< 0.1%
108	1	< 0.1%
107	2	< 0.1%
102	1	< 0.1%
100	1	< 0.1%
99	2	< 0.1%
98	1	< 0.1%
97	3	< 0.1%
95	1	< 0.1%
94	2	< 0.1%

Humidity
Real number (ℝ)

High correlation

Distinct	90
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68.710833

Minimum	20
Maximum	109
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	103.2 KiB

Quantile statistics

Minimum	20
5-th percentile	29
Q1	57
median	70
Q3	84
95-th percentile	98
Maximum	109
Range	89
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	20.194248
Coefficient of variation (CV)	0.29390195
Kurtosis	-0.33836557
Mean	68.710833
Median Absolute Deviation (MAD)	13
Skewness	-0.40161427
Sum	906983
Variance	407.80766
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76	313	2.4%
60	309	2.3%
67	295	2.2%
63	291	2.2%
70	288	2.2%
69	284	2.2%
73	282	2.1%
68	282	2.1%
65	277	2.1%
78	276	2.1%
Other values (80)	10303	78.1%

Value	Count	Frequency (%)
20	69	0.5%
21	65	0.5%
22	70	0.5%
23	71	0.5%
24	92	0.7%
25	67	0.5%
26	67	0.5%
27	59	0.4%
28	55	0.4%
29	63	0.5%

Value	Count	Frequency (%)
109	42	0.3%
108	52	0.4%
107	46	0.3%
106	57	0.4%
105	50	0.4%
104	50	0.4%
103	41	0.3%
102	42	0.3%
101	36	0.3%
100	46	0.3%

Wind Speed
Real number (ℝ)

Zeros

Distinct	97
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.832197

Minimum	0
Maximum	48.5
Zeros	170
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	103.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5
median	9
Q3	13.5
95-th percentile	20.5
Maximum	48.5
Range	48.5
Interquartile range (IQR)	8.5

Descriptive statistics

Standard deviation	6.9087041
Coefficient of variation (CV)	0.70266128
Kurtosis	3.2551937
Mean	9.832197
Median Absolute Deviation (MAD)	4.5
Skewness	1.3602626
Sum	129785
Variance	47.730193
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	470	3.6%
9.5	463	3.5%
9	456	3.5%
6.5	454	3.4%
6	436	3.3%
8.5	422	3.2%
7.5	421	3.2%
7	417	3.2%
5.5	413	3.1%
5	399	3.0%
Other values (87)	8849	67.0%

Value	Count	Frequency (%)
0	170	1.3%
0.5	324	2.5%
1	319	2.4%
1.5	337	2.6%
2	326	2.5%
2.5	366	2.8%
3	347	2.6%
3.5	334	2.5%
4	316	2.4%
4.5	318	2.4%

Value	Count	Frequency (%)
48.5	1	< 0.1%
47.5	1	< 0.1%
47	3	< 0.1%
46.5	3	< 0.1%
46	1	< 0.1%
45.5	1	< 0.1%
45	4	< 0.1%
44.5	3	< 0.1%
44	4	< 0.1%
43.5	4	< 0.1%

Precipitation (%)
Real number (ℝ)

High correlation

Distinct	110
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	53.644394

Minimum	0
Maximum	109
Zeros	120
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	103.2 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	19
median	58
Q3	82
95-th percentile	98
Maximum	109
Range	109
Interquartile range (IQR)	63

Descriptive statistics

Standard deviation	31.946541
Coefficient of variation (CV)	0.59552431
Kurtosis	-1.3540386
Mean	53.644394
Median Absolute Deviation (MAD)	29
Skewness	-0.15245707
Sum	708106
Variance	1020.5815
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19	222	1.7%
14	213	1.6%
16	211	1.6%
18	206	1.6%
17	203	1.5%
13	202	1.5%
15	200	1.5%
11	196	1.5%
12	187	1.4%
92	185	1.4%
Other values (100)	11175	84.7%

Value	Count	Frequency (%)
0	120	0.9%
1	127	1.0%
2	109	0.8%
3	139	1.1%
4	120	0.9%
5	161	1.2%
6	133	1.0%
7	115	0.9%
8	125	0.9%
9	134	1.0%

Value	Count	Frequency (%)
109	49	0.4%
108	47	0.4%
107	42	0.3%
106	38	0.3%
105	37	0.3%
104	41	0.3%
103	46	0.3%
102	38	0.3%
101	54	0.4%
100	39	0.3%

Cloud Cover
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	853.2 KiB

overcast	6090
partly cloudy	4560
clear	2139
cloudy	411

Length

Max length	13
Median length	8
Mean length	9.1788636
Min length	5

Characters and Unicode

Total characters	121161
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	partly cloudy
2nd row	partly cloudy
3rd row	clear
4th row	clear
5th row	overcast

Common Values

Value	Count	Frequency (%)
overcast	6090	46.1%
partly cloudy	4560	34.5%
clear	2139	16.2%
cloudy	411	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
overcast	6090	34.3%
cloudy	4971	28.0%
partly	4560	25.7%
clear	2139	12.0%

Most occurring characters

Value	Count	Frequency (%)
c	13200	10.9%
r	12789	10.6%
a	12789	10.6%
l	11670	9.6%
o	11061	9.1%
t	10650	8.8%
y	9531	7.9%
e	8229	6.8%
v	6090	5.0%
s	6090	5.0%
Other values (4)	19062	15.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	121161	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
c	13200	10.9%
r	12789	10.6%
a	12789	10.6%
l	11670	9.6%
o	11061	9.1%
t	10650	8.8%
y	9531	7.9%
e	8229	6.8%
v	6090	5.0%
s	6090	5.0%
Other values (4)	19062	15.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	121161	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
c	13200	10.9%
r	12789	10.6%
a	12789	10.6%
l	11670	9.6%
o	11061	9.1%
t	10650	8.8%
y	9531	7.9%
e	8229	6.8%
v	6090	5.0%
s	6090	5.0%
Other values (4)	19062	15.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	121161	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
c	13200	10.9%
r	12789	10.6%
a	12789	10.6%
l	11670	9.6%
o	11061	9.1%
t	10650	8.8%
y	9531	7.9%
e	8229	6.8%
v	6090	5.0%
s	6090	5.0%
Other values (4)	19062	15.7%

Atmospheric Pressure
Real number (ℝ)

High correlation

Distinct	5456
Distinct (%)	41.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1005.8279

Minimum	800.12
Maximum	1199.21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	103.2 KiB

Quantile statistics

Minimum	800.12
5-th percentile	980.84
Q1	994.8
median	1007.65
Q3	1016.7725
95-th percentile	1029.04
Maximum	1199.21
Range	399.09
Interquartile range (IQR)	21.9725

Descriptive statistics

Standard deviation	37.199589
Coefficient of variation (CV)	0.036984049
Kurtosis	12.778071
Mean	1005.8279
Median Absolute Deviation (MAD)	10.62
Skewness	-0.29389861
Sum	13276928
Variance	1383.8094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1017.97	11	0.1%
1017.92	11	0.1%
1015.11	11	0.1%
1016.31	11	0.1%
1019.47	11	0.1%
1013.57	11	0.1%
1019.88	10	0.1%
1013.68	10	0.1%
1018.91	10	0.1%
992.52	10	0.1%
Other values (5446)	13094	99.2%

Value	Count	Frequency (%)
800.12	1	< 0.1%
800.23	1	< 0.1%
800.82	1	< 0.1%
800.83	1	< 0.1%
801.25	1	< 0.1%
802.47	1	< 0.1%
803.02	1	< 0.1%
803.08	1	< 0.1%
803.29	1	< 0.1%
803.48	1	< 0.1%

Value	Count	Frequency (%)
1199.21	1	< 0.1%
1198.97	1	< 0.1%
1198.85	1	< 0.1%
1198.41	1	< 0.1%
1197.92	1	< 0.1%
1197.2	1	< 0.1%
1197.04	1	< 0.1%
1196.03	1	< 0.1%
1196	1	< 0.1%
1195.34	1	< 0.1%

UV Index
Real number (ℝ)

High correlation Zeros

Distinct	15
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0057576

Minimum	0
Maximum	14
Zeros	2097
Zeros (%)	15.9%
Negative	0
Negative (%)	0.0%
Memory size	103.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	7
95-th percentile	11
Maximum	14
Range	14
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.8566004
Coefficient of variation (CV)	0.96276429
Kurtosis	-0.36216602
Mean	4.0057576
Median Absolute Deviation (MAD)	2
Skewness	0.90001018
Sum	52876
Variance	14.873366
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	2837	21.5%
0	2097	15.9%
2	1465	11.1%
3	1432	10.8%
4	831	6.3%
5	591	4.5%
11	582	4.4%
10	577	4.4%
9	572	4.3%
7	543	4.1%
Other values (5)	1673	12.7%

Value	Count	Frequency (%)
0	2097	15.9%
1	2837	21.5%
2	1465	11.1%
3	1432	10.8%
4	831	6.3%
5	591	4.5%
6	524	4.0%
7	543	4.1%
8	532	4.0%
9	572	4.3%

Value	Count	Frequency (%)
14	210	1.6%
13	189	1.4%
12	218	1.7%
11	582	4.4%
10	577	4.4%
9	572	4.3%
8	532	4.0%
7	543	4.1%
6	524	4.0%
5	591	4.5%

Season
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	812.2 KiB

Winter	5610
Spring	2598
Autumn	2500
Summer	2492

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	79200
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Winter
2nd row	Spring
3rd row	Spring
4th row	Spring
5th row	Winter

Common Values

Value	Count	Frequency (%)
Winter	5610	42.5%
Spring	2598	19.7%
Autumn	2500	18.9%
Summer	2492	18.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
winter	5610	42.5%
spring	2598	19.7%
autumn	2500	18.9%
summer	2492	18.9%

Most occurring characters

Value	Count	Frequency (%)
n	10708	13.5%
r	10700	13.5%
i	8208	10.4%
t	8110	10.2%
e	8102	10.2%
u	7492	9.5%
m	7484	9.4%
W	5610	7.1%
S	5090	6.4%
p	2598	3.3%
Other values (2)	5098	6.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	79200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	10708	13.5%
r	10700	13.5%
i	8208	10.4%
t	8110	10.2%
e	8102	10.2%
u	7492	9.5%
m	7484	9.4%
W	5610	7.1%
S	5090	6.4%
p	2598	3.3%
Other values (2)	5098	6.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	79200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	10708	13.5%
r	10700	13.5%
i	8208	10.4%
t	8110	10.2%
e	8102	10.2%
u	7492	9.5%
m	7484	9.4%
W	5610	7.1%
S	5090	6.4%
p	2598	3.3%
Other values (2)	5098	6.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	79200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	10708	13.5%
r	10700	13.5%
i	8208	10.4%
t	8110	10.2%
e	8102	10.2%
u	7492	9.5%
m	7484	9.4%
W	5610	7.1%
S	5090	6.4%
p	2598	3.3%
Other values (2)	5098	6.4%

Visibility (km)
Real number (ℝ)

High correlation

Distinct	41
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.4629167

Minimum	0
Maximum	20
Zeros	25
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	103.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	7.5
95-th percentile	10.5
Maximum	20
Range	20
Interquartile range (IQR)	4.5

Descriptive statistics

Standard deviation	3.3714989
Coefficient of variation (CV)	0.61716096
Kurtosis	2.5172751
Mean	5.4629167
Median Absolute Deviation (MAD)	2.5
Skewness	1.2332752
Sum	72110.5
Variance	11.367005
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
1.5	829	6.3%
2	805	6.1%
3	803	6.1%
4	784	5.9%
2.5	783	5.9%
3.5	778	5.9%
4.5	761	5.8%
5	720	5.5%
5.5	714	5.4%
8	686	5.2%
Other values (31)	5537	41.9%

Value	Count	Frequency (%)
0	25	0.2%
0.5	143	1.1%
1	504	3.8%
1.5	829	6.3%
2	805	6.1%
2.5	783	5.9%
3	803	6.1%
3.5	778	5.9%
4	784	5.9%
4.5	761	5.8%

Value	Count	Frequency (%)
20	10	0.1%
19.5	34	0.3%
19	37	0.3%
18.5	25	0.2%
18	32	0.2%
17.5	32	0.2%
17	31	0.2%
16.5	44	0.3%
16	37	0.3%
15.5	31	0.2%

Location
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	825.1 KiB

inland	4816
mountain	4813
coastal	3571

Length

Max length	8
Median length	7
Mean length	6.9997727
Min length	6

Characters and Unicode

Total characters	92397
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	inland
2nd row	inland
3rd row	mountain
4th row	coastal
5th row	mountain

Common Values

Value	Count	Frequency (%)
inland	4816	36.5%
mountain	4813	36.5%
coastal	3571	27.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
inland	4816	36.5%
mountain	4813	36.5%
coastal	3571	27.1%

Most occurring characters

Value	Count	Frequency (%)
n	19258	20.8%
a	16771	18.2%
i	9629	10.4%
l	8387	9.1%
o	8384	9.1%
t	8384	9.1%
d	4816	5.2%
m	4813	5.2%
u	4813	5.2%
c	3571	3.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	92397	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	19258	20.8%
a	16771	18.2%
i	9629	10.4%
l	8387	9.1%
o	8384	9.1%
t	8384	9.1%
d	4816	5.2%
m	4813	5.2%
u	4813	5.2%
c	3571	3.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	92397	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	19258	20.8%
a	16771	18.2%
i	9629	10.4%
l	8387	9.1%
o	8384	9.1%
t	8384	9.1%
d	4816	5.2%
m	4813	5.2%
u	4813	5.2%
c	3571	3.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	92397	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	19258	20.8%
a	16771	18.2%
i	9629	10.4%
l	8387	9.1%
o	8384	9.1%
t	8384	9.1%
d	4816	5.2%
m	4813	5.2%
u	4813	5.2%
c	3571	3.9%

Weather Type
Categorical

High correlation Uniform

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	802.6 KiB

Rainy	3300
Cloudy	3300
Sunny	3300
Snowy	3300

Length

Max length	6
Median length	5
Mean length	5.25
Min length	5

Characters and Unicode

Total characters	69300
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rainy
2nd row	Cloudy
3rd row	Sunny
4th row	Sunny
5th row	Rainy

Common Values

Value	Count	Frequency (%)
Rainy	3300	25.0%
Cloudy	3300	25.0%
Sunny	3300	25.0%
Snowy	3300	25.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rainy	3300	25.0%
cloudy	3300	25.0%
sunny	3300	25.0%
snowy	3300	25.0%

Most occurring characters

Value	Count	Frequency (%)
n	13200	19.0%
y	13200	19.0%
o	6600	9.5%
u	6600	9.5%
S	6600	9.5%
R	3300	4.8%
a	3300	4.8%
i	3300	4.8%
C	3300	4.8%
l	3300	4.8%
Other values (2)	6600	9.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	69300	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	13200	19.0%
y	13200	19.0%
o	6600	9.5%
u	6600	9.5%
S	6600	9.5%
R	3300	4.8%
a	3300	4.8%
i	3300	4.8%
C	3300	4.8%
l	3300	4.8%
Other values (2)	6600	9.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	69300	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	13200	19.0%
y	13200	19.0%
o	6600	9.5%
u	6600	9.5%
S	6600	9.5%
R	3300	4.8%
a	3300	4.8%
i	3300	4.8%
C	3300	4.8%
l	3300	4.8%
Other values (2)	6600	9.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	69300	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	13200	19.0%
y	13200	19.0%
o	6600	9.5%
u	6600	9.5%
S	6600	9.5%
R	3300	4.8%
a	3300	4.8%
i	3300	4.8%
C	3300	4.8%
l	3300	4.8%
Other values (2)	6600	9.5%

	Atmospheric Pressure	CaseId	Cloud Cover	Humidity	Location	Precipitation (%)	Season	Temperature	UV Index	Visibility (km)	Weather Type	Wind Speed
Atmospheric Pressure	1.000	0.000	0.388	-0.378	0.175	-0.448	0.288	0.543	0.473	0.449	0.464	-0.228
CaseId	0.000	1.000	0.004	0.014	0.000	0.008	0.000	0.006	0.008	-0.001	0.015	0.016
Cloud Cover	0.388	0.004	1.000	0.299	0.085	0.389	0.144	0.283	0.388	0.345	0.487	0.194
Humidity	-0.378	0.014	0.299	1.000	0.076	0.643	0.138	-0.271	-0.372	-0.537	0.398	0.407
Location	0.175	0.000	0.085	0.076	1.000	0.091	0.143	0.195	0.124	0.096	0.216	0.030
Precipitation (%)	-0.448	0.008	0.389	0.643	0.091	1.000	0.162	-0.331	-0.350	-0.562	0.566	0.431
Season	0.288	0.000	0.144	0.138	0.143	0.162	1.000	0.306	0.216	0.176	0.344	0.055
Temperature	0.543	0.006	0.283	-0.271	0.195	-0.331	0.306	1.000	0.460	0.364	0.509	-0.128
UV Index	0.473	0.008	0.388	-0.372	0.124	-0.350	0.216	0.460	1.000	0.441	0.526	-0.180
Visibility (km)	0.449	-0.001	0.345	-0.537	0.096	-0.562	0.176	0.364	0.441	1.000	0.451	-0.362
Weather Type	0.464	0.015	0.487	0.398	0.216	0.566	0.344	0.509	0.526	0.451	1.000	0.280
Wind Speed	-0.228	0.016	0.194	0.407	0.030	0.431	0.055	-0.128	-0.180	-0.362	0.280	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	CaseId	Temperature	Humidity	Wind Speed	Precipitation (%)	Cloud Cover	Atmospheric Pressure	UV Index	Season	Visibility (km)	Location	Weather Type
0	1	14	73	9.5	82	partly cloudy	1010.82	2	Winter	3.5	inland	Rainy
1	2	39	96	8.5	71	partly cloudy	1011.43	7	Spring	10.0	inland	Cloudy
2	3	30	64	7.0	16	clear	1018.72	5	Spring	5.5	mountain	Sunny
3	4	38	83	1.5	82	clear	1026.25	7	Spring	1.0	coastal	Sunny
4	5	27	74	17.0	66	overcast	990.67	1	Winter	2.5	mountain	Rainy
5	6	32	55	3.5	26	overcast	1010.03	2	Summer	5.0	inland	Cloudy
6	7	-2	97	8.0	86	overcast	990.87	1	Winter	4.0	inland	Snowy
7	8	3	85	6.0	96	partly cloudy	984.46	1	Winter	3.5	inland	Snowy
8	9	3	83	6.0	66	overcast	999.44	0	Winter	1.0	mountain	Snowy
9	10	28	74	8.5	107	clear	1012.13	8	Winter	7.5	coastal	Sunny

	CaseId	Temperature	Humidity	Wind Speed	Precipitation (%)	Cloud Cover	Atmospheric Pressure	UV Index	Season	Visibility (km)	Location	Weather Type
13190	13191	30	24	3.5	16	partly cloudy	1017.54	11	Summer	6.5	mountain	Sunny
13191	13192	27	48	6.5	14	clear	1029.37	8	Summer	8.0	inland	Sunny
13192	13193	31	24	8.0	5	clear	1029.61	8	Summer	9.0	inland	Sunny
13193	13194	-5	65	15.5	50	overcast	982.57	1	Winter	5.0	inland	Snowy
13194	13195	29	62	13.0	17	overcast	1002.81	2	Spring	5.0	coastal	Cloudy
13195	13196	10	74	14.5	71	overcast	1003.15	1	Summer	1.0	mountain	Rainy
13196	13197	-1	76	3.5	23	cloudy	1067.23	1	Winter	6.0	coastal	Snowy
13197	13198	30	77	5.5	28	overcast	1012.69	3	Autumn	9.0	coastal	Cloudy
13198	13199	3	76	10.0	94	overcast	984.27	0	Winter	2.0	inland	Snowy
13199	13200	-5	38	0.0	92	overcast	1015.37	5	Autumn	10.0	mountain	Rainy

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample